Quanliang Liu
Orcid: 0000-0002-2989-6408
According to our database1,
Quanliang Liu
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024
IEEE Trans. Serv. Comput., 2024
Beyond designer's knowledge: Generating materials design hypotheses via large language models.
CoRR, 2024
Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024
2023
J. Big Data, December, 2023
Neurocomputing, September, 2023
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion.
CoRR, 2023
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Web Services, 2023
2021
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU.
Frontiers Comput. Neurosci., 2021